Photonics is promising to handle extensive vector multiplications in AI applications. Scientists in China have promoted a programmable and reconfigurable photonic linear vector machine named SUANPAN, ...
A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
Morning Overview on MSN
MIT’s heat-powered silicon chips hit 99% accuracy in math tests
Engineers at MIT have turned one of computing’s biggest headaches, waste heat, into the main act. By sculpting “dust-sized” silicon structures that steer heat as precisely as electrical current, they ...
Implements the General Matrix Multiplication algorithm, Strassen's algorithm, and Coppersmith and Winograd's Algorithm. usage: matrix-multiplication [options] -a <algorithm> - select which algorithm ...
Abstract: We propose COSMA: a parallel matrix-matrix multiplication algorithm that is near communication-optimal for all combinations of matrix dimensions, processor counts, and memory sizes. The key ...
Researchers at Massachusetts Institute of Technology have demonstrated a surprising new way to compute—by using heat instead ...
Weijia Shang received BS degree in computer engineering from Changsha Institute of Technology, China, and Master and Ph.D. degrees in computer engineering from Purdue University, West Lafayette, ...
This repository contains the artifact for the SC '25 paper submission "KAMI: Communication-Avoiding General Matrix Multiplication within a Single GPU." The NVIDIA GH200 is installed with Ubuntu 22.04 ...
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